About
Dioptra is a ML intelligence platform. It provides real time observability of models in production as well as error analysis frameworks to understand model performance and inform retraining strategies.
Quickstart
1. Create your account
Sign up for a free account by reaching out to info@dioptra.ai.
2. Get your service API key
When you create an account, we generate a service API key.
3. Instrument your code
Install Library
Install the Dioptra library in an environment using Python > 3.5.3.
$ pip3 install dioptra
Or clone the repo:
$ git clone https://github.com/dioptra-ai/collector-py.git
$ python3 setup.py install
Runnin the example
You can run the provided example to get a sense of how Dioptra works
$ export DIOPTRA_API_KEY=<your_api_key>
$ python3 examples/image_classification.py
And log in to the dioptra app to see what happens :)
1 maintainer
Metadata
1 maintainer
Release files for dioptra 1.0.29
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| dioptra-1.0.29.tar.gz | 21.7 kB | Without provenance | Details for dioptra-1.0.29.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| dioptra-1.0.29-py3-none-any.whl | Python 3 | none | any | Details for dioptra-1.0.29-py3-none-any.whl |
Total release size: 54.7 kB
Release files / dioptra-1.0.29.tar.gz
| Download URL | dioptra-1.0.29.tar.gz |
|---|---|
| Size | 21.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.6
|
Release files / dioptra-1.0.29-py3-none-any.whl
| Download URL | dioptra-1.0.29-py3-none-any.whl |
|---|---|
| Size | 33.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.6
|
Security for dioptra 1.0.29
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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